The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-11"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "71081574 (up from 69592554 yesterday: 2.14 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1594777 (up from 1581856 yesterday: 0.82 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 13461168

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.24



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 15842789 231775 1.48 3916830 295450 3309 1.13 1.86
India 9826775 30031 0.31 776178 142628 443 0.31 1.45
Brazil 6836227 54428 0.80 816063 180437 672 0.37 2.64
Russia 2574319 28206 1.11 551294 45370 601 1.34 1.76
France 2405210 13567 0.57 244867 57671 627 1.10 2.40
United Kingdom 1814395 21784 1.22 337181 63603 424 0.67 3.51
Italy 1805873 18726 1.05 460106 63387 761 1.22 3.51
Turkey 1780673 824907 86.31 1345400 15977 226 1.43 0.90
Spain 1730575 10519 0.61 173845 47624 280 0.59 2.75
Argentina 1489328 7112 0.48 130286 40606 175 0.43 2.73
Colombia 1408909 8998 0.64 175465 38669 185 0.48 2.74
Germany 1314309 27217 2.11 400191 21567 503 2.39 1.64
Mexico 1229379 12253 1.01 203410 113019 693 0.62 9.19
Poland 1115201 13105 1.19 295939 22174 544 2.52 1.99
Iran 1092407 9384 0.87 264030 51727 231 0.45 4.74
Peru 979111 0 0.00 35194 36499 0 0.00 3.73
Ukraine 895620 13893 1.58 280634 15278 297 1.98 1.71
South Africa 845083 8319 0.99 82320 22952 205 0.90 2.72
Indonesia 605243 6310 1.05 116933 18511 175 0.95 3.06
Netherlands 604452 8979 1.51 123803 10051 66 0.66 1.66
Belgium 600397 0 0.00 46717 17692 0 0.00 2.95
Iraq 572600 1347 0.24 40831 12549 23 0.18 2.19
Czechia 569205 5872 1.04 81642 9341 115 1.25 1.64
Chile 567974 1534 0.27 30389 15782 8 0.05 2.78
Romania 545567 6460 1.20 142444 13116 168 1.30 2.40
Bangladesh 487849 1884 0.39 44415 6986 19 0.27 1.43
Canada 452543 6715 1.51 128309 13267 137 1.04 2.93
Philippines 447039 1499 0.34 31972 8709 8 0.09 1.95
Pakistan 435056 2729 0.63 63548 8724 71 0.82 2.01
Morocco 394564 3035 0.78 78304 6542 50 0.77 1.66
Switzerland 373831 5136 1.39 83230 5928 104 1.79 1.59
Saudi Arabia 359583 168 0.05 4770 6023 11 0.18 1.67
Israel 353269 872 0.25 25140 2969 8 0.27 0.84
Portugal 340287 5080 1.52 90789 5373 95 1.80 1.58
Sweden 320098 7370 2.36 111803 7514 160 2.18 2.35
Austria 316581 2893 0.92 81230 4289 126 3.03 1.35
Hungary 271200 6197 2.34 105299 6622 171 2.65 2.44
Serbia 255758 6534 2.62 145407 2227 55 2.53 0.87
Jordan 255459 2338 0.92 81124 3286 36 1.11 1.29
Nepal 246694 1044 0.42 29729 1674 11 0.66 0.68
Ecuador 200765 386 0.19 16925 13858 8 0.06 6.90
Panama 187779 2355 1.27 35490 3309 22 0.67 1.76
Kazakhstan 184557 927 0.50 18999 2551 1 0.04 1.38
Georgia 183099 4146 2.32 86239 1694 37 2.23 0.93
United Arab Emirates 182601 1196 0.66 26078 607 5 0.83 0.33
Bulgaria 177665 3097 1.77 59247 5562 157 2.90 3.13
Japan 175310 2904 1.68 47025 2446 51 2.13 1.40
Croatia 168388 4396 2.68 71551 2484 64 2.64 1.48
Azerbaijan 167155 4381 2.69 79992 1840 47 2.62 1.10
Belarus 156359 1967 1.27 35512 1246 8 0.65 0.80
Dominican Republic 152452 731 0.48 15668 2359 1 0.04 1.55
Costa Rica 150947 1132 0.76 21529 1895 13 0.69 1.26
Bolivia 146697 312 0.21 2843 9013 5 0.06 6.14
Armenia 146317 1077 0.74 22671 2445 29 1.20 1.67
Kuwait 145789 294 0.20 6481 910 0 0.00 0.62
Lebanon 143705 1518 1.07 30050 1182 12 1.03 0.82
Qatar 140680 164 0.12 3792 240 0 0.00 0.17
Guatemala 128541 755 0.59 10784 4376 31 0.71 3.40
Slovakia 127087 2166 1.73 33691 1122 18 1.63 0.88
Oman 125669 0 0.00 4309 1463 0 0.00 1.16
Moldova 124264 1579 1.29 28881 2521 21 0.84 2.03
Greece 122648 1395 1.15 34836 3472 102 3.03 2.83
Egypt 120611 464 0.39 8293 6877 23 0.34 5.70
Ethiopia 115782 422 0.37 10903 1791 12 0.67 1.55
Honduras 113708 501 0.44 10157 2971 3 0.10 2.61
Tunisia 109104 1290 1.20 22839 3801 43 1.14 3.48
Venezuela 106715 435 0.41 7698 944 6 0.64 0.88
West Bank and Gaza 106622 1743 1.66 37854 931 21 2.31 0.87
Burma 105863 1376 1.32 29449 2220 19 0.86 2.10
Denmark 104103 3076 3.04 35225 927 9 0.98 0.89

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 1516215 33664 2.27 426465 20787 184 0.89 1.37 38373.32 526.09 1 in 26
Texas 1388909 14653 1.07 256313 24143 246 1.03 1.74 47900.22 832.64 1 in 21
Florida 1106396 11699 1.07 182978 19714 123 0.63 1.78 51513.62 917.88 1 in 19
Illinois 832951 9420 1.14 198556 15067 223 1.50 1.81 65732.54 1189.02 1 in 15
New York 753837 10595 1.43 168987 35357 91 0.26 4.69 38750.59 1817.51 1 in 26
Ohio 542209 10359 1.95 206786 7426 128 1.75 1.37 46385.86 635.29 1 in 22
Georgia 531593 6191 1.18 91002 10031 56 0.56 1.89 50067.99 944.77 1 in 20
Pennsylvania 476249 13295 2.87 174945 12183 222 1.86 2.56 37201.17 951.65 1 in 27
Wisconsin 461367 4478 0.98 96177 4266 57 1.35 0.92 79239.54 732.68 1 in 13
Michigan 460346 5626 1.24 139165 10965 65 0.60 2.38 46095.18 1097.94 1 in 22
Tennessee 436262 7289 1.70 104730 5327 87 1.66 1.22 63844.71 779.58 1 in 16
North Carolina 423623 7540 1.81 94777 5752 38 0.67 1.36 40390.89 548.43 1 in 25
Indiana 412135 7200 1.78 129824 6673 70 1.06 1.62 61218.30 991.20 1 in 16
Arizona 394512 6983 1.80 102816 7245 91 1.27 1.84 51807.95 951.43 1 in 19
New Jersey 390256 3650 0.94 92886 17662 54 0.31 4.53 43936.91 1988.47 1 in 23
Minnesota 370968 3750 1.02 114268 4351 94 2.21 1.17 65778.76 771.50 1 in 15
Missouri 343412 994 0.29 75498 4551 7 0.15 1.33 55953.73 741.52 1 in 18
Alabama 288775 3853 1.35 60402 4086 52 1.29 1.41 58895.39 833.34 1 in 17
Colorado 281673 4678 1.69 93107 3846 87 2.31 1.37 48912.30 667.85 1 in 20
Massachusetts 280436 5655 2.06 79487 11257 48 0.43 4.01 40353.39 1619.83 1 in 25
Virginia 274438 3395 1.25 61107 4370 35 0.81 1.59 32152.47 511.98 1 in 31
Louisiana 264191 2862 1.10 47482 6767 43 0.64 2.56 56830.01 1455.65 1 in 18
Iowa 253612 1059 0.42 47695 3193 469 17.22 1.26 80382.37 1012.02 1 in 12
South Carolina 245226 3540 1.46 42065 4673 46 0.99 1.91 47628.59 907.61 1 in 21
Oklahoma 229353 3900 1.73 62092 2007 27 1.36 0.88 57961.76 507.21 1 in 17
Maryland 228471 2616 1.16 51385 5064 52 1.04 2.22 37790.79 837.62 1 in 26
Utah 228129 2183 0.97 57545 1025 9 0.89 0.45 71157.83 319.72 1 in 14
Kentucky 217119 3670 1.72 64913 2168 22 1.03 1.00 48597.78 485.26 1 in 21
Washington 195554 3141 1.63 56011 2879 29 1.02 1.47 25680.47 378.07 1 in 39
Kansas 188318 5473 2.99 51457 2072 131 6.75 1.10 64640.47 711.22 1 in 15
Arkansas 181624 2770 1.55 39708 2875 55 1.95 1.58 60183.74 952.67 1 in 17
Nevada 181310 2783 1.56 51596 2479 45 1.85 1.37 58863.90 804.83 1 in 17
Mississippi 175282 2327 1.35 34853 4124 41 1.00 2.35 58895.57 1385.68 1 in 17
Nebraska 146877 1103 0.76 35216 1343 14 1.05 0.91 75928.66 694.27 1 in 13
Connecticut 146761 3782 2.65 45292 5363 36 0.68 3.65 41163.87 1504.23 1 in 24
Idaho 119610 1582 1.34 29846 1151 15 1.32 0.96 66744.23 642.28 1 in 15
New Mexico 116565 1834 1.60 39467 1889 43 2.33 1.62 55591.09 900.88 1 in 18
Oregon 91420 1582 1.76 29245 1138 15 1.34 1.24 21675.13 269.81 1 in 46
South Dakota 89672 945 1.07 18602 1210 33 2.80 1.35 101363.35 1367.76 1 in 10
North Dakota 87214 507 0.58 17198 1130 21 1.89 1.30 114444.76 1482.82 1 in 9
Montana 71870 978 1.38 18577 805 24 3.07 1.12 67245.02 753.20 1 in 15
Rhode Island 70818 1571 2.27 22817 1509 11 0.73 2.13 66849.73 1424.44 1 in 15
Puerto Rico 61002 1544 2.60 15667 1249 11 0.89 2.05 19100.77 391.08 1 in 52
West Virginia 60637 942 1.58 22157 938 17 1.85 1.55 33929.50 524.86 1 in 29
Delaware 43818 782 1.82 13002 807 1 0.12 1.84 44998.58 828.74 1 in 22
Alaska 39975 630 1.60 13431 158 3 1.94 0.40 54644.62 215.98 1 in 18
Wyoming 38785 562 1.47 11656 321 22 7.36 0.83 67014.08 554.64 1 in 15
New Hampshire 29460 1187 4.20 12638 590 6 1.03 2.00 21666.37 433.92 1 in 46
District of Columbia 24357 259 1.07 4549 709 1 0.14 2.91 34512.27 1004.61 1 in 29
Hawaii 19315 136 0.71 2116 269 1 0.37 1.39 13641.77 189.99 1 in 73
Maine 15206 345 2.32 5248 250 4 1.63 1.64 11312.20 185.98 1 in 88
Vermont 5541 128 2.36 2082 93 4 4.49 1.68 8879.96 149.04 1 in 113

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 26572343 1516215 5.71 4841792 426465 8.81 672509.4
2 Texas 11833140 1388909 11.74 2045904 256313 12.53 408097.3
3 Florida 13621566 1106396 8.12 2165105 182978 8.45 634217.9
4 Illinois 11586296 832951 7.19 1997598 198556 9.94 914335.5
5 New York 21514118 753837 3.50 3922284 168987 4.31 1105921.8
6 Ohio 6772307 542209 8.01 1228118 206786 16.84 579369.4
7 Georgia 4657199 531593 11.41 614073 91002 14.82 438637.4
8 Pennsylvania 3479544 476249 13.69 534888 174945 32.71 271797.1
9 Wisconsin 4777544 461367 9.66 694801 96177 13.84 820540.7
10 Michigan 7285348 460346 6.32 1208662 139165 11.51 729493.6
11 Tennessee 4896753 436262 8.91 656205 104730 15.96 716614.7
12 North Carolina 5879122 423623 7.21 1060093 94777 8.94 560552.5
13 Indiana 4818990 412135 8.55 1033568 129824 12.56 715810.1
14 Arizona 2460821 394512 16.03 396932 102816 25.90 323159.0
15 New Jersey 6587012 390256 5.92 1069312 92886 8.69 741597.7
16 Minnesota 4645205 370968 7.99 1056648 114268 10.81 823671.7
17 Missouri 3292575 343412 10.43 402589 75498 18.75 536474.7
18 Alabama 1696439 288775 17.02 188227 60402 32.09 345987.2
19 Colorado 3691463 281673 7.63 938745 93107 9.92 641019.7
20 Massachusetts 9377600 280436 2.99 1729357 79487 4.60 1349391.5
21 Virginia 3634492 274438 7.55 598860 61107 10.20 425808.0
22 Louisiana 3739272 264191 7.07 529895 47482 8.96 804353.1
23 Iowa 1115807 253612 22.73 96333 47695 49.51 353655.2
24 South Carolina 2651756 245226 9.25 459008 42065 9.16 515032.7
25 Oklahoma 2320719 229353 9.88 413533 62092 15.02 586488.8
26 Maryland 4904152 228471 4.66 864830 51385 5.94 811182.9
27 Utah 1991789 228129 11.45 303000 57545 18.99 621277.3
28 Kentucky 2856427 217119 7.60 500952 64913 12.96 639354.5
29 Washington 3256838 195554 6.00 400364 56011 13.99 427693.2
30 Kansas 890717 188318 21.14 126824 51457 40.57 305740.1
31 Arkansas 1828179 181624 9.93 262306 39708 15.14 605793.6
32 Nevada 1795433 181310 10.10 317270 51596 16.26 582903.3
33 Mississippi 1201582 175282 14.59 154162 34853 22.61 403737.2
34 Nebraska 1524345 146877 9.64 303080 35216 11.62 788016.3
35 Connecticut 3695091 146761 3.97 766031 45292 5.91 1036407.7
36 Idaho 499102 119610 23.97 54876 29846 54.39 278506.6
37 New Mexico 1707040 116565 6.83 273431 39467 14.43 814105.5
38 Oregon 2242771 91420 4.08 1249018 29245 2.34 531747.5
39 South Dakota 348369 89672 25.74 41500 18602 44.82 393789.0
40 North Dakota 1157011 87214 7.54 151742 17198 11.33 1518263.6
41 Montana 711734 71870 10.10 110059 18577 16.88 665932.5
42 Rhode Island 1717567 70818 4.12 301539 22817 7.57 1621323.6
44 West Virginia 1293240 60637 4.69 298868 22157 7.41 723633.8
45 Delaware 819158 43818 5.35 159704 13002 8.14 841228.5
46 Alaska 1123545 39975 3.56 218833 13431 6.14 1535852.2
47 Wyoming 437060 38785 8.87 278143 11656 4.19 755167.5
48 New Hampshire 898485 29460 3.28 151429 12638 8.35 660791.2
49 District of Columbia 762746 24357 3.19 150542 4549 3.02 1080761.0
50 Hawaii 726436 19315 2.66 108258 2116 1.95 513066.2
51 Maine 971996 15206 1.56 176605 5248 2.97 723097.2
52 Vermont 608412 5541 0.91 110506 2082 1.88 975036.4

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4383640 438591 2938 0.67 10.01 5417 733 87449 23581 5.38
Piemonte 1730912 183084 1553 0.86 10.58 4005 300 59991 6993 3.82
Veneto 2957445 181451 3883 2.19 6.14 2566 349 85093 4659 2.57
Campania 1769241 171332 1340 0.79 9.68 1828 144 94480 2228 1.30
Emilia-Romagna 2294410 141010 1211 0.87 6.15 2812 231 64055 6447 4.57
Lazio 2429359 137143 1230 0.90 5.65 3026 339 88193 2870 2.09
Toscana 1693046 111097 657 0.59 6.56 1268 241 20824 3082 2.77
Sicilia 1066271 76366 999 1.33 7.16 1280 197 36410 1923 2.52
Puglia 878289 70319 1813 2.65 8.01 1595 187 49991 1868 2.66
Liguria 642156 55024 340 0.62 8.57 803 84 8765 2627 4.77
Friuli Venezia Giulia 800671 38632 843 2.23 4.82 644 63 14235 1187 3.07
Marche 448004 33866 483 1.45 7.56 490 86 13113 1379 4.07
Abruzzo 453936 31463 262 0.84 6.93 647 66 15499 1017 3.23
P.A. Bolzano 330925 26283 252 0.97 7.94 242 27 10651 629 2.39
Umbria 450723 25834 219 0.85 5.73 314 54 5089 507 1.96
Sardegna 413872 25477 198 0.78 6.16 595 64 15065 563 2.21
Calabria 393096 19333 158 0.82 4.92 365 21 9416 379 1.96
P.A. Trento 406811 17976 160 0.90 4.42 411 47 2439 754 4.19
Basilicata 164832 9290 104 1.13 5.64 116 15 6231 195 2.10
Valle d’Aosta 57448 6812 11 0.16 11.86 88 9 716 347 5.09
Molise 101503 5490 73 1.35 5.41 50 8 2618 152 2.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 160023 1713 1.08 7435 53 0.72 4.65 18743.16 870.85 1 in 53
Ontario 140320 1791 1.29 3931 40 1.03 2.80 9537.90 267.20 1 in 105
Alberta 76792 1738 2.32 684 18 2.70 0.89 17400.74 154.99 1 in 57
British Columbia 40797 737 1.84 598 11 1.87 1.47 7982.32 117.00 1 in 125
Manitoba 20392 445 2.23 465 14 3.10 2.28 14803.45 337.56 1 in 68
Saskatchewan 11475 252 2.25 75 0 0.00 0.65 9710.87 63.47 1 in 103
Nova Scotia 1402 9 0.65 65 0 0.00 4.64 1434.33 66.50 1 in 697
New Brunswick 554 8 1.47 8 1 14.29 1.44 710.26 10.26 1 in 1408
Newfoundland and Labrador 355 1 0.28 4 0 0.00 1.13 680.90 7.67 1 in 1469
Nunavut 245 16 6.99 0 0 NaN 0.00 NA NA 1 in NA
Prince Edward Island 84 0 0.00 0 0 NaN 0.00 531.11 0.00 1 in 1883
Yukon 58 0 0.00 1 0 0.00 1.72 1411.95 24.34 1 in 708
Northwest Territories 20 5 33.33 0 0 NaN 0.00 445.39 0.00 1 in 2245
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 48419.28 902.96 1 in 21
India 7338.89 106.52 1 in 136
Brazil 32662.34 862.10 1 in 31
Russia 17815.36 313.98 1 in 56
France 35904.02 860.89 1 in 28
United Kingdom 27308.77 957.30 1 in 37
Italy 29859.01 1048.07 1 in 33
Turkey 22035.31 197.71 1 in 45
Spain 37089.05 1020.66 1 in 27
Argentina 33641.92 917.24 1 in 30
Colombia 28712.23 788.04 1 in 35
Germany 15875.21 260.50 1 in 63
Mexico 9515.32 874.76 1 in 105
Poland 29362.85 583.83 1 in 34
Iran 13459.92 637.35 1 in 74
Peru 30435.53 1134.57 1 in 33
Ukraine NA NA 1 in NA
South Africa 14899.21 404.65 1 in 67
Indonesia 2292.59 70.12 1 in 436
Netherlands 35183.47 585.04 1 in 28

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 501635 8199 1.63
Cook Illinois 346004 7282 2.10
Miami-Dade Florida 253403 3959 1.56
Maricopa Arizona 245671 4299 1.75
Harris Texas 204850 3128 1.53
Dallas Texas 156225 1751 1.12
Clark Nevada 137100 1962 1.43
San Bernardino California 120186 1209 1.01
Broward Florida 118512 1728 1.46
Tarrant Texas 116931 1158 0.99
Riverside California 112950 1573 1.39
Queens New York 100265 7400 7.38
San Diego California 99601 1114 1.12
Kings New York 98914 7549 7.63
Orange California 97302 1662 1.71
Bexar Texas 92484 1568 1.70
El Paso Texas 91868 1317 1.43
Salt Lake Utah 91795 464 0.51
Milwaukee Wisconsin 81590 824 1.01
Philadelphia Pennsylvania 79646 2127 2.67
Hennepin Minnesota 77579 1216 1.57
Wayne Michigan 75084 3384 4.51
Suffolk New York 72118 2101 2.91
Palm Beach Florida 71691 1766 2.46
Bronx New York 70085 5038 7.19
Nassau New York 68737 2293 3.34
Franklin Ohio 67043 691 1.03
Hillsborough Florida 64281 984 1.53
Orange Florida 62522 678 1.08
St. Louis Missouri 58921 1147 1.95
Westchester New York 57606 1553 2.70
Middlesex Massachusetts 56850 2514 4.42
Marion Indiana 56247 950 1.69
Utah Utah 56088 169 0.30
Oakland Michigan 54042 1463 2.71
Shelby Tennessee 53864 730 1.36
Cuyahoga Ohio 53832 822 1.53
DuPage Illinois 53456 890 1.66
King Washington 52398 912 1.74
New York New York 50979 3240 6.36
Mecklenburg North Carolina 49955 481 0.96
Pima Arizona 49637 776 1.56
Duval Florida 49320 676 1.37
Davidson Tennessee 48599 461 0.95
Kern California 48401 463 0.96
Oklahoma Oklahoma 47460 358 0.75
Hidalgo Texas 47109 2121 4.50
Fairfield Connecticut 46615 1588 3.41
Sacramento California 46479 659 1.42
Douglas Nebraska 46370 416 0.90
Prince George’s Maryland 46335 974 2.10
Providence Rhode Island 46213 1114 2.41
Fulton Georgia 45902 745 1.62
Gwinnett Georgia 45489 560 1.23
Will Illinois 45363 659 1.45
Santa Clara California 45178 526 1.16
Macomb Michigan 44256 1392 3.15
Essex Massachusetts 44163 1516 3.43
Jefferson Kentucky 43503 480 1.10
Suffolk Massachusetts 43396 1294 2.98
Fresno California 42461 542 1.28
Lake Illinois 42410 706 1.66
Travis Texas 41901 504 1.20
Denver Colorado 41760 593 1.42
Hamilton Ohio 41545 390 0.94
Essex New Jersey 40145 2291 5.71
Bergen New Jersey 39588 2193 5.54
Jefferson Alabama 39541 559 1.41
Kent Michigan 38720 439 1.13
Tulsa Oklahoma 38522 303 0.79
Montgomery Maryland 38190 1012 2.65
Allegheny Pennsylvania 38029 657 1.73
New Haven Connecticut 37836 1360 3.59
Polk Iowa 37132 368 0.99
Pinellas Florida 36962 943 2.55
Hudson New Jersey 36348 1623 4.47
Kane Illinois 36193 525 1.45
Hartford Connecticut 35878 1686 4.70
Fairfax Virginia 35748 633 1.77
Alameda California 35686 538 1.51
Lubbock Texas 35684 446 1.25
Middlesex New Jersey 35674 1538 4.31
Adams Colorado 34484 412 1.19
Passaic New Jersey 34480 1360 3.94
El Paso Colorado 34280 413 1.20
Cobb Georgia 34198 532 1.56
Lake Indiana 33850 519 1.53
Lee Florida 33829 610 1.80
Wake North Carolina 33744 322 0.95
Bernalillo New Mexico 33137 412 1.24
Baltimore Maryland 33125 806 2.43
Ramsey Minnesota 32975 576 1.75
Sedgwick Kansas 32709 199 0.61
Arapahoe Colorado 32306 493 1.53
Waukesha Wisconsin 32217 292 0.91
Johnson Kansas 32163 338 1.05
Erie New York 32015 935 2.92
Union New Jersey 31755 1474 4.64
Collin Texas 31269 295 0.94
San Joaquin California 31228 535 1.71

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc